PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-08-20 10:21:58.917362+00:00 (UTC)
In US/Central Time, this is 2024-08-20 05:21:58.917362-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/e3e82fd1650e78d1d58dd248949611d5e5c51286d37c9db2754a8d8e6435a064.png
We are just generating a random time serie here.
../_images/22b0c8db86647669c6e34b97bfe9f32a683d2f180cd3f1508320cb93b30f7f11.png
../_images/0c5996088b21c161c2e808da9c14bc951a46cb5ffecd5452849fcb051abaea41.png